基于包络线消除的高光谱图像分类方法研究

Study on the Classification Methods of the Hyperspectral Image Based on the Continuum Removed

在高光谱遥感中,包络线消除法一般仅局限于对单个像元的光谱进行光谱分析,从中提取出有助于分类识别的特征波段。而该文则以包络线消除算法为基础,应用VC++语言编程实现了对整个高光谱图像文件去包络、归一化并且提取出分类的特征空间的功能,并且针对原图像文件和去包络线后的图像文件,比较了应用最大似然分类法和光谱角度匹配法进行分类的结果。

In the hyperspectral remote sensing,the continuum removed methods is used only with the spectrum of a single pixel to analyze spectrum and extract the feature bands useful with the classification.While in this paper,based on the continuum removed arithmetic,writers program with VC++to fulfil the functions of the continuum removed to the whole hyperspectral image,normalization and extracting the feature space for the classification.At last,aiming at the former image and the after-continuum removed image,the classification results of the MLC and SAM are compared.